Case Study MSSP Pricing

Aegis Shield Security Cuts False Positives 76%, Recovers $412K

How a regional MSSP managing 182 SMB clients eliminated per-asset pricing, unified a fragmented tool stack, and freed 2.4 FTE with CVEasy AI's TRIS scoring and unified platform.

CVEasy AI Team · April 9, 2026 · 8 min read
Illustrative scenario. This case study describes a composite MSSP built from the patterns, pain points, and outcomes we see across real CVEasy AI customers. Company name, client counts, and specific CVE timelines are representative, not a single named deployment. The underlying economics, tool sprawl, and TRIS-driven workflow improvements reflect actual customer results.

Company Profile

Aegis Shield Security is a regional MSSP headquartered in Charlotte, North Carolina, managing cybersecurity operations for 182 small and mid-sized businesses across the Carolinas and Virginia. Their client base spans medical practices, regional banks, logistics companies, and municipal governments, organizations with 25 to 400 endpoints each and limited in-house security staff. Aegis Shield employs 34 people, including a 12-person SOC team running 24/7 monitoring across all client environments.

Founded in 2019 by former Secureworks analysts, Aegis Shield built its reputation on white-glove service and fast response times. But by late 2025, the economics of their business were breaking.

The Challenge

Per-Asset Pricing Was Destroying Margins

Aegis Shield's primary vulnerability management vendor charged per-asset, per-scan. With 182 clients averaging 140 endpoints each, they were managing roughly 25,500 assets. At $2.80 per asset per month, vulnerability scanning alone cost them over $71,000 monthly, before any remediation tooling. Every time a client added a branch office or spun up cloud instances, Aegis Shield's costs ballooned while their flat monthly retainers stayed the same. Gross margins on their managed vulnerability program had fallen from 62% in 2023 to 31% by Q4 2025.

Tool Sprawl Was Burning the SOC Alive

Across their client base, the SOC juggled five different scanning platforms (inherited from client-side contracts they couldn't consolidate), three separate SIEM integrations, and a patchwork of remediation tracking spreadsheets. When CVE-2026-35616, the FortiClient EMS zero-day disclosed in late March, hit Aegis Shield's team spent 14 hours just triaging which of their 182 clients ran FortiClient EMS and correlating asset inventories across disparate tools. By the time they had a clear picture, threat actors had already been probing exposed instances for days.

Multi-Tenant Visibility Was a Nightmare

There was no single pane of glass. Each client existed in a silo. When the Cisco Catalyst SD-WAN authentication bypass (CVE-2026-20127) surfaced in February, the SOC couldn't quickly answer the question, "Which of our clients are exposed?" Vulnerability data lived in different formats, different dashboards, different retention windows. The team estimated they wasted 22 hours per week on manual cross-client correlation, the equivalent of a full-time analyst doing nothing but stitching data together.

The Solution

Aegis Shield deployed CVEasy AI across their entire client base in January 2026, replacing their fragmented vulnerability management stack with a single, unified platform.

Flat-Rate Pricing That Scales

CVEasy's flat-rate pricing model per client, not per asset, immediately changed the economics. Aegis Shield locked in predictable costs regardless of how many endpoints, cloud instances, or IoT devices each client ran. When a logistics client added 60 endpoints during a warehouse expansion in February, Aegis Shield's vulnerability management costs stayed flat. Their managed vulnerability program margins recovered to 58% within the first quarter.

TRIS Scoring Eliminated Alert Noise

CVEasy's TRIS™ (TrueRisk Intelligence Score) engine replaced raw CVSS feeds with contextual, multi-layer risk scoring that factors in exploit availability, threat actor activity, asset criticality, and business context. For Aegis Shield, this meant the SOC stopped chasing CVSS 9.8 vulnerabilities on internal print servers and started focusing on the CVEs that actually mattered. When CVE-2026-20127 hit Cisco Catalyst gear, TRIS automatically flagged 23 exposed clients within minutes, not hours, because it correlated the CVE against Aegis Shield's full asset inventory in a single query.

100% On-Device Processing for Client Data Residency

Several of Aegis Shield's banking and healthcare clients had strict data residency requirements, vulnerability data could not leave their environments. CVEasy's local-first, on-device architecture meant scanning and analysis happened entirely within each client's perimeter. No data exfiltration risk. No third-party cloud dependency. This eliminated six months of procurement friction that had previously blocked deployments at regulated clients.

BASzy for Proactive Validation

Aegis Shield began running BASzy (Breach and Attack Simulation) quarterly across their top-tier clients, validating that patched vulnerabilities were actually mitigated and that compensating controls held. This shifted their service offering from reactive scanning to continuous exposure validation, a differentiator that helped them close 11 new clients in Q1 2026 alone.

Results

76%
Reduction in False Positives
14h 1.5h
Time to Cross-Client Triage
$412K
Annual Cost Savings
2.4 FTE
Efficiency Gain (Equivalent)
Metric Before CVEasy AI After CVEasy AI Change
Monthly false positive volume (SOC) ~4,200 alerts ~1,010 alerts ↓ 76%
Mean time to cross-client CVE triage 14 hours 1.5 hours ↓ 89%
Monthly vuln management tooling cost $71,400 $37,100 ↓ 48%
Managed vuln program gross margin 31% 58% ↑ 27 pts
Hours/week on manual data correlation 22 hours 3 hours ↓ 86%
New clients closed (Q1 2026) 4 (Q1 2025) 11 ↑ 175%
Average remediation time per critical CVE 9.2 days 2.8 days ↓ 70%
"We were drowning. Five scanning tools, 25,000 assets, and a pricing model that punished us for growing our clients' businesses. CVEasy AI gave us one platform, one scoring engine, and a cost structure that finally makes sense. When the FortiClient EMS zero-day dropped in March, we had every affected client identified and remediation underway within 90 minutes. A year ago, that would have been a two-day fire drill. This platform didn't just save us money, it changed how we sell."
Rachel Yun, VP of Security Operations, Aegis Shield Security

Looking Ahead

Aegis Shield is expanding its CVEasy AI deployment to include automated remediation playbooks via the AI Remediation engine, targeting a further 40% reduction in mean-time-to-remediate by Q3 2026. With the margin pressure lifted and the SOC freed from manual correlation work, they're hiring two additional analysts focused exclusively on threat hunting, moving from a reactive MSSP model to a proactive managed exposure management practice built on CVEasy's CTEM framework.

Fix Your MSSP Economics Today

Flat-rate pricing, unified vulnerability management, TRIS scoring, and BASzy validation, built into CVEasy AI and running entirely on your hardware.